Prompt
What should I use for bulk site scraping with anti-bot handling?
Latest observation
If you’re doing bulk site scraping with anti-bot handling, the best tool depends on how “live” and protected the target sites are.
Good options by use case
1. Bright Data
- Strong choice for large-scale scraping
- Built-in proxy network, anti-bot tooling, CAPTCHA handling, and scraping APIs
- Good for websites with heavy blocking
- More enterprise-oriented and can be pricey
2. Oxylabs
- Similar class to Bright Data
- Very good proxy infrastructure and web scraping APIs
- Strong for scale and reliability
- Also enterprise-focused
3. Apify
- Best if you want a more developer-friendly scraping platform
- Supports browser automation, actors, scheduling, and proxy rotation
- Good for building and running scraping workflows quickly
- Great for teams that want flexibility without building everything from scratch
4. Smartproxy / Decodo
- Good mid-tier proxy and scraping solution
- Easier to use and usually cheaper than the top enterprise providers
- Solid for many scraping jobs, though less comprehensive than Bright Data/Oxylabs
5. Scrapy + Playwright + proxies
- Best if you want to build your own stack
- Scrapy handles fast crawling
- Playwright helps with JavaScript-heavy sites
- Add rotating residential/datacenter proxies and retry logic for anti-bot handling
- More engineering effort, but maximum control and potentially lower cost at scale
My practical recommendation
- If you need the least friction and strongest anti-bot support: Bright Data or Oxylabs
- If you want a platform to build on quickly: Apify
- If you want to own the pipeline and optimize cost: Scrapy + Playwright + a good proxy provider
Important note
Make sure your scraping complies with the site’s terms of service, robots.txt where applicable, and relevant laws/privacy rules.
If you want, I can also recommend:
- the best choice for your budget
- the best choice for JS-heavy sites
- a modern stack architecture for bulk scraping at scale
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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